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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing Physical AI solutions leveraging NVIDIA technologies and Hyperscaler infrastructure, with a strong focus on optimizing GPU-accelerated systems and deep learning pipelines. Proven ability to collaborate across teams and engage with technical stakeholders to drive product development and customer solutions.
Highest-signal resume keywords
Physical AI Solutions DevelopmentGPU-Accelerated Systems OptimizationMachine Learning and Deep Learning ExpertiseDevOps Technologies (Docker, Kubernetes)Solutions Architecture in AI Domains
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Machine LearningDeep LearningData ScienceModel CompressionModel CompilationModel ServingTransformer-Based ArchitecturesLarge-Scale Distributed TrainingInference Pipeline OptimizationPhysical AI Solutions
Soft Skills
Verbal CommunicationWritten CommunicationListening SkillsCollaborationSelf-Starter
Tools & Technologies
NVIDIA Software PlatformsHyperscaler InfrastructureDockerKubernetesSingularity
Industry Keywords
Solutions ArchitectureEnterprise ComputingAccelerated ComputingGenerative AITechnical Evangelism
Tech Stack
Tools & technologiesDockerKubernetes
About the role
Key responsibilities & impact- Develop and demonstrate Physical AI solutions based on Hyperscalers and NVIDIA’s software and hardware technologies
- Work directly with key customers and Hyperscaler partners to understand challenges and provide solutions based on NVIDIA products
- Perform in-depth analysis and optimization for GPU-accelerated systems using NVIDIA software platforms
- Support optimization of training and inference pipelines
- Partner with Engineering, Product and Sales teams to understand developer challenges and plan suitable solutions
- Enable product feature development and growth through customer feedback and proof-of-concept evaluations
- Build industry expertise and contribute to integrating NVIDIA technology into Enterprise Computing architectures
- Drive relationships with technical executives and managers to evangelize accelerated computing and Generative AI
- Engage with developers, researchers, data scientists, IT managers and senior leaders
Requirements
What you’ll need- MS/PhD or equivalent experience in Computer Science, Data Science, Electrical/Computer Engineering, Physics, Mathematics, or other Engineering fields
- 5+ years in Solutions Architecture/Engineering in AI-related domains
- Excellent ability to listen, both verbal and written communication skills, and comfort presenting technical solutions in English
- Expertise with Physical AI solutions on Hyperscaler's infrastructure
- Proven academic and/or industry experience in machine learning, deep learning and/or data science
- Ability to work with multiple levels and teams across Engineering, Product, Sales and Marketing
- Self-starter with interest in growth, passion for continuous learning and sharing findings across the team
- Background with Physical AI solutions and offerings using Hyperscaler platforms
- Experience running and optimizing large-scale distributed deep learning training and optimizing inference pipelines
- Understanding of inferencing techniques, including model compression, model compilation or model serving
- Background working with larger transformer-based architectures
- Expertise in DevOps technologies such as Docker, Kubernetes, Singularity, etc.
Benefits
Comp & perks- 🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account NVIDIA Website LinkedIn All Job Openings 10,000+ employees Founded 1993 🏥 Healthcare 🏭 Manufacturing 🤖 Artificial Intelligence Healthcare
- Manufacturing
- Artificial Intelligence NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows. Solutions Architect, CSP GTM 🔥 25 minutes ago 🇩🇪 Germany – Remote ⏰ Full Time 🟡 Mid-level 🟠 Senior 💻 Solutions Engineer 👻 Ghost score 11% Docker Kubernetes Apply Now Customize resume + cover letter Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
- Develop and demonstrate Physical AI solutions based on Hyperscalers and NVIDIA’s software and hardware technologies
- Work directly with key customers and Hyperscaler partners to understand challenges and provide solutions based on NVIDIA products
- Perform in-depth analysis and optimization for GPU-accelerated systems using NVIDIA software platforms
- Support optimization of training and inference pipelines
- Partner with Engineering, Product and Sales teams to understand developer challenges and plan suitable solutions
- Enable product feature development and growth through customer feedback and proof-of-concept evaluations
- Build industry expertise and contribute to integrating NVIDIA technology into Enterprise Computing architectures
- Drive relationships with technical executives and managers to evangelize accelerated computing and Generative AI
- Engage with developers, researchers, data scientists, IT managers and senior leaders 🎯 Requirements
- MS/PhD or equivalent experience in Computer Science, Data Science, Electrical/Computer Engineering, Physics, Mathematics, or other Engineering fields
- 5+ years in Solutions Architecture/Engineering in AI-related domains
- Excellent ability to listen, both verbal and written communication skills, and comfort presenting technical solutions in English
- Expertise with Physical AI solutions on Hyperscaler's infrastructure
- Proven academic and/or industry experience in machine learning, deep learning and/or data science
- Ability to work with multiple levels and teams across Engineering, Product, Sales and Marketing
- Self-starter with interest in growth, passion for continuous learning and sharing findings across the team
- Background with Physical AI solutions and offerings using Hyperscaler platforms
- Experience running and optimizing large-scale distributed deep learning training and optimizing inference pipelines
- Understanding of inferencing techniques, including model compression, model compilation or model serving
- Background working with larger transformer-based architectures
- Expertise in DevOps technologies such as Docker, Kubernetes, Singularity, etc. Apply Now 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score Similar Jobs Technical Solutions Consultant 🔥 14 hours ago Pigment 51 - 200 🤖 Artificial Intelligence ☁️ SaaS 🏢 Enterprise Website LinkedIn All Job Openings Technical Solutions Consultant leading SAP integrations, security discussions, and RFP responses for Pigment’s AI-powered business-planning platform. Supporting enterprise sales across Germany and DACH. 🇩🇪 Germany – Remote ⏰ Full Time 🟢 Junior 🟡 Mid-level 💻 Solutions Engineer 🚫👨🎓 No degree required 🗣️🇩🇪 German Required Cloud ETL Channel Solution Architect 🔥 16 hours ago CrowdStrike 5001 - 10000 🔒 Cybersecurity ☁️ SaaS 🤖 Artificial Intelligence Website LinkedIn All Job Openings Channel Solution Architect designing cloud security services and enablement programs for CrowdStrike partners. Supporting Falcon platform adoption across complex hyperscaler, Kubernetes, and CNAPP environments. 🇩🇪 Germany – Remote ⏰ Full Time 🟠 Senior 🔴 Lead 💻 Solutions Engineer 🗣️🇩🇪 German Required Ansible AWS Azure Cloud Cyber Security Google Cloud Platform Kubernetes Terraform Technical Solution Architect 🕒 2 days ago Arrow Electronics 10,000+ employees 🔧 Hardware 🤝 B2B Website LinkedIn All Job Openings Technical Solution Architect designing embedded, cloud, and digital engineering solutions for eInfochips, an engineering and software R&D provider. Leading architecture, pre-sales discovery, PoCs, and technical governance. 🇩🇪 Germany – Remote ⏰ Full Time 🟠 Senior 🔴 Lead 💻 Solutions Engineer Cloud Docker Kubernetes Microservices Solution Architect – Digital Product Development 🕒 3 days ago TIVITY GmbH 11 - 50 ☁️ SaaS 🤖 Artificial Intelligence ⚡ Productivity Website LinkedIn All Job Openings Solution Architect entwickelt maßgeschneiderte Low-Code-Produkte für TIVITYs Digitalisierungsplattform. Beratung, User-Stories, Wireframes, Datenmodelle und Workflows von der Idee bis zur Umsetzung. 🇩🇪 Germany – Remote 💵 €50k - €60k / year ⏰ Full Time 🟢 Junior 🟡 Mid-level 💻 Solutions Engineer 🗣️🇩🇪 German Required Technical Solution Architect 🕒 3 days ago Arrow Components 10,000+ employees 💼 Consulting 🏭 Manufacturing 📦 Logistics Website LinkedIn All Job Openings Technical Solution Architect designing secure, scalable engineering solutions for eInfochips, a global product engineering and software R&D provider. Leading pre-sales architecture, technology selection, and client delivery. 🇩🇪 Germany – Remote ⏰ Full Time 🟠 Senior 🔴 Lead 💻 Solutions Engineer Cloud Docker Kubernetes Microservices View More Solutions Engineer Jobs 🌐 Worldwide Built by Lior Neu-ner. I'd love to hear your feedback — Get in touch via DM or support@remoterocketship.com Search Remote jobs Search Jobs by country Search jobs by city Search jobs by job title Search entry-level jobs Search junior-level jobs Search senior-level jobs Search jobs by tech stack Search jobs by contract type Search remote internships Search remote part-time jobs Remote jobs Anywhere in the World Companies Hiring Anywhere in the World Companies Hiring Sales People Anywhere in the World Companies Hiring Software Engineers Anywhere in the World Resources About us Advice Tips for finding remote jobs Interview questions and answers Resume examples Cover letter examples Post a job Affiliates Is Remote Rocketship legit? Privacy policy Terms of service Job board SEO course Remote Job Search MasterClass Resume Review AI Apply Copilot OpenClaw job finder API docs Find jobs using your resume Jobs by Country Remote jobs anywhere in the world (Worldwide remote jobs) Remote jobs United States Remote jobs Australia Remote jobs Brazil Remote jobs Canada Remote jobs France Remote jobs Ireland Remote jobs Germany Remote jobs Netherlands Remote jobs Spain Remote jobs UK Popular Jobs Remote data analyst jobs Remote customer support jobs Remote executive assistant jobs Remote marketing jobs Remote product designer jobs Remote product manager jobs Remote project manager jobs Remote recruiter jobs Remote sales jobs Remote software engineer jobs Jobs by Type Remote full-time jobs Remote part-time jobs Remote contract jobs Remote internship jobs Remote entry-level jobs Remote jobs with no experience required Remote junior jobs (1-3 years of experience) Digital nomad jobs Remote jobs with no degree required Freelance remote jobs Temporary remote jobs Remote jobs hiring now Stay at home mom jobs